中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo

文献类型:期刊论文

作者Zhou, Huiyu1; Li, Xuelong2; Sadka, Abdul H.3
刊名ieee transactions on multimedia
出版日期2012-02-01
卷号14期号:1页码:168-177
关键词Markov chain Monte Carlo nonrigid structure from motion uncalibrated
ISSN号1520-9210
产权排序2
合作状况国际
中文摘要in this paper we present a new method for simultaneously determining 3-d shape and motion of a nonrigid object from uncalibrated 2-d images without assuming the distribution characteristics. a nonrigid motion can be treated as a combination of a rigid rotation and a nonrigid deformation. to seek accurate recovery of deformable structures, we estimate the probability distribution function of the corresponding features through random sampling, incorporating an established probabilistic model. the fitting between the observation and the projection of the estimated 3-d structure will be evaluated using a markov chain monte carlo based expectation maximization algorithm. applications of the proposed method to both synthetic and real image sequences are demonstrated with promising results.
英文摘要in this paper we present a new method for simultaneously determining 3-d shape and motion of a nonrigid object from uncalibrated 2-d images without assuming the distribution characteristics. a nonrigid motion can be treated as a combination of a rigid rotation and a nonrigid deformation. to seek accurate recovery of deformable structures, we estimate the probability distribution function of the corresponding features through random sampling, incorporating an established probabilistic model. the fitting between the observation and the projection of the estimated 3-d structure will be evaluated using a markov chain monte carlo based expectation maximization algorithm. applications of the proposed method to both synthetic and real image sequences are demonstrated with promising results.
WOS标题词science & technology ; technology
学科主题computer science ; information systems ; computer science ; software engineering ; telecommunications
类目[WOS]computer science, information systems ; computer science, software engineering ; telecommunications
研究领域[WOS]computer science ; telecommunications
关键词[WOS]shape ; algorithm ; tracking ; recovery ; likelihood ; streams ; models ; mcmc ; em
收录类别SCI ; EI
语种英语
WOS记录号WOS:000302701100016
公开日期2012-09-03
源URL[http://ir.opt.ac.cn/handle/181661/20266]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.Queens Univ Belfast, ECIT, Belfast BT3 9DT, Antrim, North Ireland
2.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
3.Brunel Univ, Sch Engn & Design, Uxbridge UB8 3PH, Middx, England
推荐引用方式
GB/T 7714
Zhou, Huiyu,Li, Xuelong,Sadka, Abdul H.. Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo[J]. ieee transactions on multimedia,2012,14(1):168-177.
APA Zhou, Huiyu,Li, Xuelong,&Sadka, Abdul H..(2012).Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo.ieee transactions on multimedia,14(1),168-177.
MLA Zhou, Huiyu,et al."Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo".ieee transactions on multimedia 14.1(2012):168-177.

入库方式: OAI收割

来源:西安光学精密机械研究所

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